Actual Causality - Joseph Y. Halpern

Actual Causality

Buch | Softcover
240 Seiten
2019
MIT Press (Verlag)
978-0-262-53713-1 (ISBN)
47,35 inkl. MwSt
A new approach for defining causality and such related notions as degree of responsibility, degrees of blame, and causal explanation.

Causality plays a central role in the way people structure the world; we constantly seek causal explanations for our observations. But what does it even mean that an event C "actually caused" event E? The problem of defining actual causation goes beyond mere philosophical speculation. For example, in many legal arguments, it is precisely what needs to be established in order to determine responsibility. The philosophy literature has been struggling with the problem of defining causality since Hume.

In this book, Joseph Halpern explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.

Halpern applies and expands an approach to causality that he and Judea Pearl developed, based on structural equations. He carefully formulates a definition of causality, and building on this, defines degree of responsibility, degree of blame, and causal explanation. He concludes by discussing how these ideas can be applied to such practical problems as accountability and program verification. Technical details are generally confined to the final section of each chapter and can be skipped by non-mathematical readers.

Joseph Y. Halpern is Professor of Computer Science at Cornell University. He is the author of Actual Causality and the coauthor of Reasoning about Knowledge, both published by the MIT Press.

Erscheinungsdatum
Reihe/Serie The MIT Press
Sprache englisch
Maße 178 x 229 mm
Themenwelt Geisteswissenschaften Philosophie Erkenntnistheorie / Wissenschaftstheorie
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 0-262-53713-3 / 0262537133
ISBN-13 978-0-262-53713-1 / 9780262537131
Zustand Neuware
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